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arXiv · 1510.03840

Dynamic Spectrum Sensing Through Accelerated Particle Swarm Optimization

Alexandros E. Paschos·Vasileios M. Kapinas·Georgia D. Ntouni·Leontios J. Hadjileontiadis·George K. Karagiannidis
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Abstract

In this paper, a novel optimization algorithm, called the acceleration-aided particle swarm optimization (AAPSO), is proposed for reliable dynamic spectrum sensing in cognitive radio networks. In A-APSO, the acceleration variable of the particles in the swarm is also considered in the search space of the optimization problem. We show that the proposed A-APSO based spectrum sensing technique is more efficient in terms of performance than the corresponding one based on the standard particle swarm optimization algorithm.

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Alexandros E. Paschos, Vasileios M. Kapinas, Georgia D. Ntouni, Leontios J. Hadjileontiadis, George K. Karagiannidis. 2018-03-10. Dynamic Spectrum Sensing Through Accelerated Particle Swarm Optimization. https://doi.org/10.1109/telfor.2017.8249365

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